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TreeGraSP combines linguistic theory with data-driven methods to improve natural language processing. It focuses on developing a statistical grammar that captures the complexity of language and enhances semantic understanding across different languages.
The increasing amount of data available in our digital society is both a chance and a challenge for natural language processing.
On the one hand, we have better possibilities than ever to extract and process meaning from language data, and recent techniques, in particular deep learning methods, have achieved impressive results.
On the other hand, linguistic research has a much broader empirical basis and can aim at rich quantitative models of language.
Unfortunately, theory and application inter…
HEINRICH-HEINE-UNIVERSITAET DUESSELDORF
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